A pyroptosis expression pattern score predicts prognosis and immune microenvironment of lung squamous cell carcinoma
Pyroptosis has been proved to significantly influence the development of lung squamous cell carcinoma (LUSC). To better predict overall survival (OS) and provide guidance on the selection of therapy for LUSC patients, we constructed a novel prognostic biomarker based on pyroptosis-related genes. The...
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| Format: | Article |
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Frontiers Media S.A.
2022-11-01
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| Series: | Frontiers in Genetics |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fgene.2022.996444/full |
| _version_ | 1811232793640828928 |
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| author | Wei Chen Wei Chen Wei Chen Min-Yu Wen Min-Yu Wen Min-Yu Wen Kai-Bin Yang Kai-Bin Yang Li-Tao Zheng Li-Tao Zheng Li-Tao Zheng Xuan Li Xuan Li |
| author_facet | Wei Chen Wei Chen Wei Chen Min-Yu Wen Min-Yu Wen Min-Yu Wen Kai-Bin Yang Kai-Bin Yang Li-Tao Zheng Li-Tao Zheng Li-Tao Zheng Xuan Li Xuan Li |
| author_sort | Wei Chen |
| collection | DOAJ |
| description | Pyroptosis has been proved to significantly influence the development of lung squamous cell carcinoma (LUSC). To better predict overall survival (OS) and provide guidance on the selection of therapy for LUSC patients, we constructed a novel prognostic biomarker based on pyroptosis-related genes. The dataset for model construction were obtained from The Cancer Genome Atlas and the validation dataset were obtained from Gene Expression Omnibus. Differential expression genes between different pyroptosis expression patterns were identified. These genes were then used to construct pyroptosis expression pattern score (PEPScore) through weighted gene co-expression network analysis, univariate and multivariate cox regression analysis. Afterward, the differences in molecule and immune characteristics and the effect of different therapies were explored between the subgroups divided by the model. The PEPScore was constructed based on six pyroptosis-related genes (CSF2, FGA, AKAP12, CYP2C18, IRS4, TSLP). Compared with the high-PEPScore subgroup, the low-PEPScore subgroup had significantly better OS, higher TP53 and TTN mutation rate, higher infiltration of T follicular helper cells and CD8 T cells, and may benefit more from chemotherapeutic drugs, immunotherapy and radiotherapy. PEPScore is a prospective prognostic model to differentiate prognosis, molecular and immune microenvironmental features, as well as provide significant guidance for selecting clinical therapies. |
| first_indexed | 2024-04-12T11:09:21Z |
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| id | doaj.art-9dcde96547f34184ae9a6d2154da5bc9 |
| institution | Directory Open Access Journal |
| issn | 1664-8021 |
| language | English |
| last_indexed | 2024-04-12T11:09:21Z |
| publishDate | 2022-11-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Genetics |
| spelling | doaj.art-9dcde96547f34184ae9a6d2154da5bc92022-12-22T03:35:39ZengFrontiers Media S.A.Frontiers in Genetics1664-80212022-11-011310.3389/fgene.2022.996444996444A pyroptosis expression pattern score predicts prognosis and immune microenvironment of lung squamous cell carcinomaWei Chen0Wei Chen1Wei Chen2Min-Yu Wen3Min-Yu Wen4Min-Yu Wen5Kai-Bin Yang6Kai-Bin Yang7Li-Tao Zheng8Li-Tao Zheng9Li-Tao Zheng10Xuan Li11Xuan Li12State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, ChinaZhongshan School of Medicine, Sun Yat-sen University, Guangzhou, ChinaDepartment of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou, ChinaState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, ChinaZhongshan School of Medicine, Sun Yat-sen University, Guangzhou, ChinaDepartment of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou, ChinaState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, ChinaDepartment of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou, ChinaState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, ChinaZhongshan School of Medicine, Sun Yat-sen University, Guangzhou, ChinaDepartment of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou, ChinaState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, ChinaDepartment of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangzhou, ChinaPyroptosis has been proved to significantly influence the development of lung squamous cell carcinoma (LUSC). To better predict overall survival (OS) and provide guidance on the selection of therapy for LUSC patients, we constructed a novel prognostic biomarker based on pyroptosis-related genes. The dataset for model construction were obtained from The Cancer Genome Atlas and the validation dataset were obtained from Gene Expression Omnibus. Differential expression genes between different pyroptosis expression patterns were identified. These genes were then used to construct pyroptosis expression pattern score (PEPScore) through weighted gene co-expression network analysis, univariate and multivariate cox regression analysis. Afterward, the differences in molecule and immune characteristics and the effect of different therapies were explored between the subgroups divided by the model. The PEPScore was constructed based on six pyroptosis-related genes (CSF2, FGA, AKAP12, CYP2C18, IRS4, TSLP). Compared with the high-PEPScore subgroup, the low-PEPScore subgroup had significantly better OS, higher TP53 and TTN mutation rate, higher infiltration of T follicular helper cells and CD8 T cells, and may benefit more from chemotherapeutic drugs, immunotherapy and radiotherapy. PEPScore is a prospective prognostic model to differentiate prognosis, molecular and immune microenvironmental features, as well as provide significant guidance for selecting clinical therapies.https://www.frontiersin.org/articles/10.3389/fgene.2022.996444/fullpyroptosislung squamous cell carcinomaTCGAprognosisimmune microenvironment |
| spellingShingle | Wei Chen Wei Chen Wei Chen Min-Yu Wen Min-Yu Wen Min-Yu Wen Kai-Bin Yang Kai-Bin Yang Li-Tao Zheng Li-Tao Zheng Li-Tao Zheng Xuan Li Xuan Li A pyroptosis expression pattern score predicts prognosis and immune microenvironment of lung squamous cell carcinoma Frontiers in Genetics pyroptosis lung squamous cell carcinoma TCGA prognosis immune microenvironment |
| title | A pyroptosis expression pattern score predicts prognosis and immune microenvironment of lung squamous cell carcinoma |
| title_full | A pyroptosis expression pattern score predicts prognosis and immune microenvironment of lung squamous cell carcinoma |
| title_fullStr | A pyroptosis expression pattern score predicts prognosis and immune microenvironment of lung squamous cell carcinoma |
| title_full_unstemmed | A pyroptosis expression pattern score predicts prognosis and immune microenvironment of lung squamous cell carcinoma |
| title_short | A pyroptosis expression pattern score predicts prognosis and immune microenvironment of lung squamous cell carcinoma |
| title_sort | pyroptosis expression pattern score predicts prognosis and immune microenvironment of lung squamous cell carcinoma |
| topic | pyroptosis lung squamous cell carcinoma TCGA prognosis immune microenvironment |
| url | https://www.frontiersin.org/articles/10.3389/fgene.2022.996444/full |
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